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The Method Based on BP Neural Network of Pile Foundation Defect Detection
This paper through indoor model test get the axial speed curve and waveform data when the pile top under transient excitation force. Use the method of reverberation ray matrix program to verify the correctness of the velocity curve. The data input to the BP neural network and identification data. It showed that the BP neural network can judge the defect type of pile foundation accurately.
The Method Based on BP Neural Network of Pile Foundation Defect Detection
This paper through indoor model test get the axial speed curve and waveform data when the pile top under transient excitation force. Use the method of reverberation ray matrix program to verify the correctness of the velocity curve. The data input to the BP neural network and identification data. It showed that the BP neural network can judge the defect type of pile foundation accurately.
The Method Based on BP Neural Network of Pile Foundation Defect Detection
Applied Mechanics and Materials ; 687-691 ; 952-956
27.11.2014
5 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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